教師資料查詢 | 類別: 期刊論文 | 教師: 林長青 Lin, Chang-Ching (瀏覽個人網頁)

標題:Rank-Based Comparative Research Flow Benchmarking the Effectiveness of AHP–GTMA on Aiding Decisions of Shredder Selection by Reference to AHP–TOPSIS
學年107
學期1
出版(發表)日期2018/10/08
作品名稱Rank-Based Comparative Research Flow Benchmarking the Effectiveness of AHP–GTMA on Aiding Decisions of Shredder Selection by Reference to AHP–TOPSIS
作品名稱(其他語言)
著者Zheng-Yun Zhuang; Chang-Ching Lin; Chih-Yung Chen; Chia-Rong Su
單位
出版者
著錄名稱、卷期、頁數Applied Sciences. 2018; 8(10):1974
摘要The AHP–GTMA (analytic hierarchy process and graph theory and matrix approach) has been applied to select the best paper shredder before a company was making a bulk purchase order. However, there is a question as to whether one such relatively recent approach is effective to aid the selection decision problems in industrial/commercial practice. In this paper, a novel multi-measure, rank-based comparative research flow is proposed. The real decision problem case mentioned above is solved using the AHP–GTMA and the AHP–TOPSIS methods, respectively, with relevant datasets sourced. Several measures in the proposed flow, i.e., the arithmetical, geometrical, or even statistical ones, are multiplexed and used to validate the similarity between the rank order vectors (ROVs) (and thus between the final preferential orders determined over the alternatives) that are obtained using these two different methods. While AHP–TOPSIS is a confident multi-attribute decision-making (MADM) approach which has been successfully applied to many other fields, the similarity validated between these individual results using the proposed method is used to confirm the efficacy of the AHP–GTMA approach and to determine its applicability in practice. In addition, along with this study, some contributable points are also rendered for implementing the decision models, e.g., the optimized recursive implementation in R to compute the permanent value of a square ASAM (alternative selection attribute matrix, which is the computational basis required by AHP–GTMA) of any dimension. The proposed methodological flow to confirm the similarity based on the ordinal rank information is not only convenient in operational practice with ubiquitous tool supports (e.g., the vector-based R statistical platform), but also generalizable (to verify between another pair of results obtained using any other MADM methods). This gives options for future research.
Zhuang Z-Y, Lin C-C, Chen C-Y, Su C-R. Rank-Based Comparative Research Flow Benchmarking the Effectiveness of AHP–GTMA on Aiding Decisions of Shredder Selection by Reference to AHP–TOPSIS. Applied Sciences. 2018; 8(10):1974.
關鍵字comparative research flow for MADM;ordinal rank based;multi-measure;graph theory and matrix approach (GTMA);TOPSIS;recursive function;paper shredder selection
語言英文
ISSN2076-3417
期刊性質國外
收錄於SCI;
產學合作
通訊作者Chih-Yung Chen
審稿制度
國別瑞士
公開徵稿
出版型式,電子版
相關連結
Google+ 推薦功能,讓全世界都能看到您的推薦!